Method and apparatus for detecting anomalies in communication data
A method and system for determining anomalies in call center communications. Data relating to communications is streamed and processed to obtain baseline probability distributions over various domains of communications. Streams related to subsequent calls are compared to the baselines to determine anomalies.
1. A method for increasing security in a call center implemented over a computing network by detecting anomalies in communication activities between call center agents and call center users, the method comprising:
monitoring event parameters of communication activities between call center agents and user;
querying a baseline distribution database to determine that an event parameter represents a communication anomaly when the event parameter indicates an event that corresponds to a probability that is lower than a predetermined threshold probability and a calculated confidence of the event is higher than a predetermined confidence threshold, wherein the baseline distribution database is created by monitoring at least one stream of communication activity data indicating parameters of communication activities between call center agents and call center users, storing the communication activity data in a collected data database and aggregating the communication activity data to create at least one distribution of communication metrics over a period of time; and
storing a record of the communication anomaly in an anomaly database.
2. The method of claim 1 , wherein at least one stream of communication activity data includes at least one of event audit logs, communication events, account information, and agent status data.
3. The method of claim 2 , further comprising creating use case specific tables and analytics based on the communication activity data.
4. The method of claim 1 , wherein the at least one distribution includes an agent baseline distribution of communication metrics for each of the agents per day and a peer baseline distribution of communication metrics for at least one group of the agents per day.
5. The method of claim 1 , wherein the at least one stream of communication data includes direct data about communications and derived data about communications.
6. A system for increasing security in a call center implemented over a computing network by detecting anomalies in communication activities between call center agents and call center users, the system comprising:
at least one memory storing computer executable instructions; and
at least one processor which, when executing the instructions accomplishes the method of:
monitoring event parameters of communication activities between call center agents and user;
querying a baseline distribution database to determine that an event parameter represents a communication anomaly when the event parameter indicates an event that corresponds to a probability that is lower than a predetermined threshold probability and a calculated confidence of the event is higher than a predetermined confidence threshold, wherein the baseline distribution database is created by monitoring at least one stream of communication activity data indicating parameters of communication activities between call center agents and call center users, storing the communication activity data in a collected data database and aggregating the communication activity data to create at least one distribution of communication metrics over a period of time; and
storing a record of the communication anomaly in an anomaly database.
7. The system of claim 6 , wherein at least one stream of communication activity data includes at least one of event audit logs, communication events, account information, and agent status data.
8. The system of claim 7 , wherein the method further comprises creating use case specific tables and analytics based on the communication activity data.
9. The system of claim 6 , wherein the at least one distribution includes an agent baseline distribution of communication metrics for each of the agents per day and a peer baseline distribution of communication metrics for at least one group of the agents per day.
10. The system of claim 6 , wherein the at least one stream of communication data includes direct data about communications and derived data about communications.